Data Engineer III

Job Description:

Company

Description:

McDonald's is proud to be one of the most recognized brands in the world, with restaurants in over 100 countries that serve 70 million customers daily. We continue to operate from a position of strength. Our updated growth strategy is focused on staying ahead of what our customers want and realizing further growth potential. Our relentless ambition is why McDonald's remains one of the world's leading corporations after almost 70 years.

Joining McDonald's means thinking big and preparing for a career that can have influence around the world.  

At McDonald's, we see every day as a chance to create positive impact. We lead through our values centered on inclusivity, service, integrity, community and family. From support of Ronald McDonald House to our Youth Opportunity project and sustainability initiatives, our values keep us dedicated to using our scale for good: good for our customers, people, industry and planet. We also offer a broad range of outstanding benefits including a sabbatical program, tuition assistance and flexible work arrangements.

Department Overview

McDonald's is creating smarter, more responsive digital and data systems that transform operations and elevate guest experiences. The Enterprise Data, Analytics, and AI (EDAA) organization empowers every function - Marketing, Operations, Supply Chain, Finance, and more - through seamless integration of business and technology.

McDonald's is hiring a Data Engineer III focused on Data Clean Room data ingestion, curation, and analytics. This role sits within Product Engineering & Delivery under Data Clean rooms team and reporting into the Senior Manager, Data Clean Rooms.

This group manages data supporting Paid Media measurement, audience activation, attribution, sales lift, and downstream audience use-cases across markets. You will work alongside passionate data engineering professionals, architects, product managers, and business stakeholders focused on Marketing, Mar Tech, and Commerce Media.

Duties

+  Builds and  maintains  relevant and reliable data products that support Data Clean Room generation flows, outbound audience activation pipelines, and downstream consumers of data clean room segments.

+  Develops and implements new technology  solutions as needed to ensure ongoing improvement with data reliability and observability as the key output.

+  Participates in new software development engineering and leads data engineering initiatives, ensuring timely  and  accurate  delivery of DCR products across GCP (prj-cp-dacleanroom-dev
01 and related tenants), AWS S3, and  Live Ramp  Connect.

+  Works closely with the Product Owner and Data Architects to define business rules that determine  the quality of relevant datasets.

+  Drives and implements best practices for pipeline development, data governance, data security, and quality across the marketing data landscape - including privacy-safe transformations, hashing, and consent enforcement.

+  Stays up to date with emerging data engineering, Mar Tech , and clean room technologies, trends, and best practices, and evaluates their applicability to meet evolving analytics needs.

+  Documents data engineering processes, workflows, and solutions in  for knowledge sharing and future reference. Mentors and  coaches  junior data engineers and  ensures  data engineering  best-practices .

+  Ability and flexibility to coordinate and work with teams distributed across time zones (US, EU, IN, APAC), as needed.

Qualifications

+  Bachelor's or  Master's degree in Computer Science  or related engineering field and deep experience with Cloud computing.

+  5+ years of professional experience in data engineering or related fields.

+  Proficiency  in Pytho n and SQL  for data processing and automation.

+  Hands-on experience with data orchestration tools (e.g., Apache Airflow, dbt ) and big data ecosystems (e.g., Spark, No

SQL,  Big Query , Snowflake, Databricks).

+  Expert knowledge of Data Quality functions like cleansing, standardization, parsing, de-duplication, mapping, and hierarchy management.

+  Deep understanding of Data Product Lifecycle, Standards, and Practices.

+  Marketing and Marketing Technologies:
Working knowledge of the modern Mar Tech  stack - CDPs ( mCDP  or equivalent), DSPs, DMPs, ad servers, measurement platforms, identity resolution, and consent/privacy platforms.

+  Clean Rooms and Commerce Media Networks:
Hands-on experience with at least one clean room platform ( e.g.
Live Ramp , Habu, Snowflake Clean Rooms, AWS Clean Rooms, Google Ads Data Hub, or Amazon Marketing Cloud) and familiarity with commerce media / retail media network patterns.

+  Understanding of  privacy-safe data collaboration concepts: hashing, identity graphs, differential privacy, aggregation thresholds, and clean room query patterns.

+  Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools.

+  Familiarity with data warehousing principles and best…